Samirah Alsulami
Papers
1
Total Citations
29
H-Index
1
About
Dr. Samirah Alsulami has established herself as a leading voice in the field of fuzzy decision-making and multi-attribute analysis, with her most cited work pioneering the development of the interval-valued q-rung orthopair dual hesitant fuzzy set (IVDHFS). This innovative framework extends traditional hesitant fuzzy sets by integrating interval-valued and dual hesitant structures, enabling more nuanced modeling of uncertainty in complex decision environments. Her 2020 paper, which has garnered 29 citations, provides a robust methodology for solving multi-attribute decision-making (MADM) problems where membership and non-membership degrees are inherently ambiguous. By advancing the theoretical foundations of fuzzy set theory, Dr. Alsulami’s contributions empower researchers and practitioners to tackle real-world challenges in fields ranging from engineering to economics, where precise data is often elusive. Her work not only enriches the mathematical toolkit for decision analysis but also demonstrates significant practical impact, as evidenced by its citation in subsequent studies exploring adaptive and hybrid fuzzy models. Dr. Alsulami’s research continues to inspire new approaches to uncertainty quantification, solidifying her reputation as a key innovator in computational intelligence and decision science.
Research Focus
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Top Papers
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